Evaluation of serum squamous cell carcinoma antigen as a novel biomarker for diagnosis of hepatocellular carcinoma in Egyptian patients

Background: Hepatocellular carcinoma (HCC) is the fifth most common malignancy in the world. In Egypt, HCC was reported to account for about 4.7% of chronic liver disease (CLD) patients. Squamous cell carcinoma antigen (SCCA) has been reported to be strongly expressed in HCC tissue hampering its extensive use in clinical practice. Aim: To evaluate the clinical usefulness of serum SCCA levels as a serological marker for early detection of HCC among high-risk patients compared to AFP. Materials and Methods: The study comprised of three groups. Group A included 30 patients with CLD diagnosed based on clinical, laboratory, and ultrasonographical investigations; group B included 49 patients with HCC diagnostically confirmed by spiral CT, elevated alfafetoprotein (AFP), and/or liver biopsy; and group C, the control group, included 15 healthy subjects matched for age and sex. All groups were subjected to thorough history taking, full clinical examination, and laboratory investigations including liver functions, viral markers, and AFP and SCCA estimation using ELISA technique. Results: This study revealed a highly significant difference between patients with HCC, CLD, and controls regarding serum SCCA levels (5.138 \ub1 7.689, 1.133 \ub1 0.516, and 0.787 \ub1 0.432 ng/ml, respectively). SCCA level was persistently elevated in patients with HCC with normal AFP levels representing its useful role in early detection and follow-up of patients treated for HCC. The area under the curve (AUC) of SCCA was 0.869 (95% CI 0.783-0.929), the cut-off value was established at 1.5 ng/ml with sensitivity of 77.6% and specificity of 84.4%). The difference between AUC of SCCA and that of AFP was 0.09 which mounted statistical significance. Conclusions: SCCA could represent a useful tool as a marker for detection of HCC

Evaluation of serum squamous cell carcinoma antigen as a novel biomarker for diagnosis of hepatocellular carcinoma in Egyptian patients

Background: Hepatocellular carcinoma (HCC) is the fifth most common malignancy in the world. In Egypt, HCC was reported to account for about 4.7% of chronic liver disease (CLD) patients. Squamous cell carcinoma antigen (SCCA) has been reported to be strongly expressed in HCC tissue hampering its extensive use in clinical practice. Aim: To evaluate the clinical usefulness of serum SCCA levels as a serological marker for early detection of HCC among high-risk patients compared to AFP. Materials and Methods: The study comprised of three groups. Group A included 30 patients with CLD diagnosed based on clinical, laboratory, and ultrasonographical investigations; group B included 49 patients with HCC diagnostically confirmed by spiral CT, elevated alfafetoprotein (AFP), and/or liver biopsy; and group C, the control group, included 15 healthy subjects matched for age and sex. All groups were subjected to thorough history taking, full clinical examination, and laboratory investigations including liver functions, viral markers, and AFP and SCCA estimation using ELISA technique. Results: This study revealed a highly significant difference between patients with HCC, CLD, and controls regarding serum SCCA levels (5.138 ± 7.689, 1.133 ± 0.516, and 0.787 ± 0.432 ng/ml, respectively). SCCA level was persistently elevated in patients with HCC with normal AFP levels representing its useful role in early detection and follow-up of patients treated for HCC. The area under the curve (AUC) of SCCA was 0.869 (95% CI 0.783-0.929), the cut-off value was established at 1.5 ng/ml with sensitivity of 77.6% and specificity of 84.4%). The difference between AUC of SCCA and that of AFP was 0.09 which mounted statistical significance. Conclusions: SCCA could represent a useful tool as a marker for detection of HCC

MRSA prevalence in european healthcare settings: a review

<p>Abstract</p> <p>Background</p> <p>During the past two decades, methicillin-resistant <it>Staphylococcus aureus </it>(MRSA) has become increasingly common as a source of nosocomial infections. Most studies of MRSA surveillance were performed during outbreaks, so that results are not applicable to settings in which MRSA is endemic. This paper gives an overview of MRSA prevalence in hospitals and other healthcare institutions in non-outbreak situations in Western Europe.</p> <p>Methods</p> <p>A keyword search was conducted in the Medline database (2000 through June 2010). Titles and abstracts were screened to identify studies on MRSA prevalence in patients in non-outbreak situations in European healthcare facilities. Each study was assessed using seven quality criteria (outcome definition, time unit, target population, participants, observer bias, screening procedure, swabbing sites) and categorized as 'good', 'fair', or 'poor'.</p> <p>Results</p> <p>31 observational studies were included in the review. Four of the studies were of good quality. Surveillance screening of MRSA was performed in long-term care (11 studies) and acute care (20 studies). Prevalence rates varied over a wide range, from less than 1% to greater than 20%. Prevalence in the acute care and long-term care settings was comparable. The prevalence of MRSA was expressed in various ways - the percentage of MRSA among patients (range between 1% and 24%), the percentage of MRSA among <it>S. aureus </it>isolates (range between 5% and 54%), and as the prevalence density (range between 0.4 and 4 MRSA cases per 1,000 patient days). The screening policy differed with respect to time points (on admission or during hospital stay), selection criteria (all admissions or patients at high risk for MRSA) and anatomical sampling sites.</p> <p>Conclusions</p> <p>This review underlines the methodological differences between studies of MRSA surveillance. For comparisons between different healthcare settings, surveillance methods and outcome calculations should be standardized.</p

Pattern of medical waste management: existing scenario in Dhaka City, Bangladesh

<p>Abstract</p> <p>Background</p> <p>Medical waste is infectious and hazardous. It poses serious threats to environmental health and requires specific treatment and management prior to its final disposal. The problem is growing with an ever-increasing number of hospitals, clinics, and diagnostic laboratories in Dhaka City, Bangladesh. However, research on this critical issue has been very limited, and there is a serious dearth of information for planning. This paper seeks to document the handling practice of waste (e.g. collection, storage, transportation and disposal) along with the types and amount of wastes generated by Health Care Establishments (HCE). A total of 60 out of the existing 68 HCE in the study areas provided us with relevant information.</p> <p>Methods</p> <p>The methodology for this paper includes empirical field observation and field-level data collection through inventory, questionnaire survey and formal and informal interviews. A structured questionnaire was designed to collect information addressing the generation of different medical wastes according to amount and sources from different HCE. A number of in-depth interviews were arranged to enhance our understanding of previous and existing management practice of medical wastes. A number of specific questions were asked of nurses, hospital managers, doctors, and cleaners to elicit their knowledge. The collected data with the questionnaire survey were analysed, mainly with simple descriptive statistics; while the qualitative mode of analysis is mainly in narrative form.</p> <p>Results</p> <p>The paper shows that the surveyed HCE generate a total of 5,562 kg/day of wastes, of which about 77.4 per cent are non-hazardous and about 22.6 per cent are hazardous. The average waste generation rate for the surveyed HCE is 1.9 kg/bed/day or 0.5 kg/patient/day. The study reveals that there is no proper, systematic management of medical waste except in a few private HCE that segregate their infectious wastes. Some cleaners were found to salvage used sharps, saline bags, blood bags and test tubes for resale or reuse.</p> <p>Conclusion</p> <p>The paper reveals that lack of awareness, appropriate policy and laws, and willingness are responsible for the improper management of medical waste in Dhaka City. The paper also shows that a newly designed medical waste management system currently serves a limited number of HCE. New facilities should be established for the complete management of medical waste in Dhaka City.</p

Endomyocardial Fibrosis: Still a Mystery after 60 Years

The pathologist Jack N. P. Davies identified endomyocardial fibrosis in Uganda in 1947. Since that time, reports of this restrictive cardiomyopathy have come from other parts of tropical Africa, South Asia, and South America. In Kampala, the disease accounts for 20% of heart disease patients referred for echocardiography. We conducted a systematic review of research on the epidemiology and etiology of endomyocardial fibrosis. We relied primarily on articles in the MEDLINE database with either “endomyocardial fibrosis” or “endomyocardial sclerosis” in the title. The volume of publications on endomyocardial fibrosis has declined since the 1980s. Despite several hypotheses regarding cause, no account of the etiology of this disease has yet fully explained its unique geographical distribution

Molecular markers of anti-malarial drug resistance in Lahj Governorate, Yemen: baseline data and implications

<p>Abstract</p> <p>Background</p> <p>This is an investigation of anti-malarial molecular markers coupled with a therapeutic efficacy test of chloroquine (CQ) against falciparum malaria in an area of unstable malaria in Lahj Governorate, Yemen. The study was aimed at assessment of therapeutic response to CQ and elucidation of baseline information on molecular markers for <it>Plasmodium falciparum </it>resistance against CQ and sulphadoxine/pyrimethamine (SP).</p> <p>Methods</p> <p>Between 2002 and 2003 the field test was conducted according to the standard WHO protocol to evaluate the therapeutic efficacy of CQ in 124 patients with falciparum malaria in an endemic area in Lahj Governorate in Yemen. Blood samples collected during this study were analysed for <it>P. falciparum </it>chloroquine resistance transporter gene (<it>pfcrt</it>)-76 polymorphisms, mutation <it>pfcrt-</it>S163R and the antifolate resistance-associated mutations dihydrofolate reductase (<it>dhfr</it>)-C59R and dihydropteroate synthase (<it>dhps</it>)-K540E. Direct DNA sequencing of the <it>pfcrt </it>gene from three representative field samples was carried out after DNA amplification of the 13 exons of the <it>pfcrt </it>gene.</p> <p>Results</p> <p>Treatment failure was detected in 61% of the 122 cases that completed the 14-day follow-up. The prevalence of mutant <it>pfcrt </it>T76 was 98% in 112 amplified pre-treatment samples. The presence of <it>pfcrt </it>T76 was poorly predictive of <it>in vivo </it>CQ resistance (PPV = 61.8%, 95% CI = 52.7-70.9). The prevalence of <it>dhfr </it>Arg-59 mutation in 99 amplified samples was 5%, while the <it>dhps </it>Glu-540 was not detected in any of 119 amplified samples. Sequencing the <it>pfcrt </it>gene confirmed that Yemeni CQ resistant <it>P. falciparum </it>carry the old world (Asian and African) CQ resistant haplotype CVIETSESI at positions 72,73,74,75,76,220,271, 326 and 371.</p> <p>Conclusion</p> <p>This is the first study to report baseline information on the characteristics and implications of anti-malarial drug resistance markers in Yemen. It is also the first report of the haplotype associated with CQR <it>P. falciparum </it>parasites from Yemen. Mutant <it>pfcrt</it>T76 is highly prevalent but it is a poor predictor of treatment failure in the study population. The prevalence of mutation <it>dhfr</it>Arg59 is suggestive of emerging resistance to SP, which is currently a component of the recommended combination treatment of falciparum malaria in Yemen. More studies on these markers are recommended for surveillance of resistance in the study area.</p

Intelligent Technique for Seamless Vertical Handover in Vehicular Networks

Seamless mobility is a challenging issue in the area of research of vehicular networks that are supportive of various applications dealing with the intelligent transportation system (ITS). The conventional mobility management plans for the Internet and the mobile ad hoc network (MANET) is unable to address the needs of the vehicular network and there is severe performance degradation because of the vehicular networks’ unique characters such as high mobility. Thus, vehicular networks require seamless mobility designs that especially developed for them. This research provides an intelligent algorithm in providing seamless mobility using the media independent handover, MIH (IEEE 802.21), over heterogeneous networks with different access technologies such as Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), as well as the Universal Mobile Telecommunications System (UMTS) for improving the quality of service (QoS) of the mobile services in the vehicular networks. The proposed algorithm is a hybrid model which merges the biogeography-based optimization or BBO with the Markov chain. The findings of this research show that our method within the given scenario can meet the requirements of the application as well as the preferences of the users

A novel underdetermined source recovery algorithm based on k-sparse component analysis

Sparse component analysis (SCA) is a popular method for addressing underdetermined blind source separation in array signal processing applications. We are motivated by problems that arise in the applications where the sources are densely sparse (i.e. the number of active sources is high and very close to the number of sensors). The separation performance of current underdetermined source recovery (USR) solutions, including the relaxation and greedy families, reduces with decreasing the mixing system dimension and increasing the sparsity level (k). In this paper, we present a k-SCA-based algorithm that is suitable for USR in low-dimensional mixing systems. Assuming the sources is at most (m−1) sparse where m is the number of mixtures; the proposed method is capable of recovering the sources from the mixtures given the mixing matrix using a subspace detection framework. Simulation results show that the proposed algorithm achieves better separation performance in k-SCA conditions compared to state-of-the-art USR algorithms such as basis pursuit, minimizing norm-L1, smoothed L0, focal underdetermined system solver and orthogonal matching pursuit